Senior Manager, Data Science - Flagship Experience
Data Science
Mountain View, CA, USA
Posted on Jan 15, 2025
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
The Flagship Experience Data Science team delivers insights, metrics, and data solutions as part of a cross-functional team dedicated to enhancing the member experience in the Flagship app. We are seeking a Senior Manager to lead this team, someone who brings a wealth of experience and expertise, preferably in the Feed and Content domain. The ideal candidate will have a proven track record of driving data-driven decisions, fostering innovation, and leading high-performing teams to achieve impactful results.
You will lead a team to work closely with cross-functional teams such as product, engineering, AI, design, and user research, to develop and deliver insights, analyses, metrics and solutions with actionable recommendations to business partners. You will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
You’ll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team find their voice to articulate how our trust teams can be Data First. Your growth will come from building and supporting strong leaders to whom you can effectively delegate, mentor for peak performance, define clear roles and accountability, communicate clear priorities and maximize cross-organizational alignment. Your long-term success will come not from a “command and control” style, but from “inspire and empower”.
Responsibilities
-Act as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community.
-Drive meetings and lead discussions with technical as well as business/product audiences.
-Craft compelling stories and make logical recommendations based on thorough understanding of data and predictive models created on top of that.
-Guide architecture, data models, and engineering best practices for this area as well as broader Data Science and Data as required.
-Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company.
-Act as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
-Drive org-wide impact by shaping product and business strategy through data-centric storytelling and recommendation.
Basic Qualifications
-BS (or higher, e.g., MS, or PhD) in a technical or quantitative field — Computer Science, Operational Research, Statistics, Economics, or related fields
-3+ years relevant work experience in consumer space, preferably with Content and Feed experience
-2+ year(s) of management experience or 2+ year(s) of staff level data science / engineering experience with management training
Preferred Qualifications
-10+ years of overall experience
-Experience with building a strong DS team, helping team members realize their full potential, and influencing the team culture
-Strong sense of ownership and intellectual curiosity
-Ability to translate high-level business objectives into actions
-Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
-Track record of solving complex data science problems
-Expertise in applied statistics in at least one statistical software package
Suggested Skills:
Executive presence
Communication
Technical Leadership
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000-$267,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
The Flagship Experience Data Science team delivers insights, metrics, and data solutions as part of a cross-functional team dedicated to enhancing the member experience in the Flagship app. We are seeking a Senior Manager to lead this team, someone who brings a wealth of experience and expertise, preferably in the Feed and Content domain. The ideal candidate will have a proven track record of driving data-driven decisions, fostering innovation, and leading high-performing teams to achieve impactful results.
You will lead a team to work closely with cross-functional teams such as product, engineering, AI, design, and user research, to develop and deliver insights, analyses, metrics and solutions with actionable recommendations to business partners. You will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
You’ll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team find their voice to articulate how our trust teams can be Data First. Your growth will come from building and supporting strong leaders to whom you can effectively delegate, mentor for peak performance, define clear roles and accountability, communicate clear priorities and maximize cross-organizational alignment. Your long-term success will come not from a “command and control” style, but from “inspire and empower”.
Responsibilities
-Act as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community.
-Drive meetings and lead discussions with technical as well as business/product audiences.
-Craft compelling stories and make logical recommendations based on thorough understanding of data and predictive models created on top of that.
-Guide architecture, data models, and engineering best practices for this area as well as broader Data Science and Data as required.
-Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company.
-Act as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
-Drive org-wide impact by shaping product and business strategy through data-centric storytelling and recommendation.
Basic Qualifications
-BS (or higher, e.g., MS, or PhD) in a technical or quantitative field — Computer Science, Operational Research, Statistics, Economics, or related fields
-3+ years relevant work experience in consumer space, preferably with Content and Feed experience
-2+ year(s) of management experience or 2+ year(s) of staff level data science / engineering experience with management training
Preferred Qualifications
-10+ years of overall experience
-Experience with building a strong DS team, helping team members realize their full potential, and influencing the team culture
-Strong sense of ownership and intellectual curiosity
-Ability to translate high-level business objectives into actions
-Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
-Track record of solving complex data science problems
-Expertise in applied statistics in at least one statistical software package
Suggested Skills:
Executive presence
Communication
Technical Leadership
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000-$267,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice